Peter Nilsson is a Professor of Economics at the Institute for International Economic Studies (IIES) , Stockholm University. He also holds a guest professorship at Linnaeus University and serves as a research fellow at IFAU , Uppsala Center for Labor Studies , CESifo , and CEPR . Previously, he was a postdoctoral fellow at Stanford University and obtained his PhD from Uppsala University (2010). Research Focus: His work bridges Labor Economics , Health Economics , and Environmental Economics , analyzing how early-life exposures (alcohol, lead), workplace dynamics, and policy interventions (unemployment insurance, congestion pricing) shape long-term socioeconomic outcomes. Key themes include Environmental Health Impacts on Cognition and Crime Labor Market Responses to Insurance Policies Peer Effects in Workplace Behavior Policy Design for Social Equity Scientific Awards: Nilsson has been recognized through research fellowships at leading institutions and editorial roles, including Associate Editor at The Economic Journal since 2021. His work has been featured in American Economic Review , Journal of Political Economy , and NBER platforms. Key Contributions: He provided testimony for Connecticut’s HB-5045 to reduce childhood lead exposure and contributed to Sweden’s Corona Commission report on pandemic responses. His empirical methods combine natural experiments with administrative datasets to identify causal relationships in health, labor, and environmental economics.
Josef Rauschecker serves as a full-time Professor at Kehl University of Applied Sciences for Public Administration since 2010, holding a dedicated position in Public Business Administration with specialized focus on investment and hospital management systems within public sector institutions. His research concentrates on operational frameworks in publicly funded administrative environments, particularly examining financial strategies and healthcare infrastructure management. Core interests include: Public sector resource allocation Healthcare investment optimization Hospital administrative systems Public financial governance No scientific awards or honors are documented in the provided materials. Professional activities show no referenced graduate student mentorship, external research grants, or laboratory affiliations within the available institutional profile.
Dr. Lourdes Pena-Castillo is a Professor jointly appointed in the Departments of Computer Science and Biology at Memorial University of Newfoundland's Faculty of Science. Her research focuses on applying machine learning and bioinformatics to study bacterial gene regulation, with emphasis on transcriptomics, gene expression pathways, and microbiology. She leads the Bioinformatics Lab at MUN, developing computational tools like Promotech for promoter prediction and sRNARFTarget for sRNA target identification. Education: BSc in Information Systems Engineering, ITESM-Mexico MSc in Computer Science, University of Alberta PhD in Computer Science (Doktoringenieurin), Otto-von-Guericke Universität Magdeburg Postdoc in Bioinformatics, University of Toronto Research Interests: Bioinformatics, Genomics, Machine Learning, Artificial Intelligence, Transcriptomics, Gene Regulation, Microbiology Her work integrates computational methods with biological data to address challenges in molecular biology, including analyzing bacterial sRNA functions, promoter recognition, and disease diagnostics using machine learning. She has advised numerous graduate students, including PhD candidates Purvikalyan Pallegar and Bonita McCuaig, and MSc students like Ruben Chevez-Guardado and Kratika Naskulwar. Her lab focuses on translational research with applications in both basic science and clinical contexts. Publications span computational methods for bacterial gene regulation, bioinformatics tool development, and interdisciplinary projects in VR and healthcare informatics. Her research has contributed to understanding symbiotic relationships in marine organisms, inflammatory bowel disease diagnostics, and clavulanic acid production in Streptomyces. Grants & Collaborations: Works with interdisciplinary teams across computer science and biology, supported by grants enabling projects in bacterial genomics and computational tool development. Labs & Teams: Leads the Bioinformatics Lab at MUN, fostering collaborations with researchers in microbiology, computer science, and healthcare.
Alessandra Meddis serves as an Assistant Professor in the Section of Biostatistics within the Department of Public Health at the University of Copenhagen's Faculty of Health and Medical Sciences. Her academic work centers on developing and applying advanced statistical methodologies for longitudinal and time-to-event data analysis, with significant contributions to public health research in Denmark and internationally. Her institutional affiliation is clearly established through university contact details and departmental listings. Her primary research interests include correlated survival data analysis, competing risk modeling, informative cluster size methodology, causal inference techniques for observational studies, and environmental epidemiology applications. Dr. Meddis has developed specialized expertise in handling complex survival data structures while maintaining focus on real-world public health problems, particularly in HIV comorbidity patterns, environmental exposure effects, and pandemic-related mortality analyses. Her methodological innovations directly address challenges in clustered and censored data common across medical research domains. Analysis of Dr. Meddis's recent publication record reveals a consistent trajectory of high-impact interdisciplinary research spanning clinical medicine, epidemiology, and statistical methodology. Her work appears in leading journals across biostatistics, infectious diseases, and public health, demonstrating strong collaborative networks with clinical researchers and epidemiologists. Key thematic areas include HIV treatment outcomes, environmental health exposures, and critical care applications during the pandemic, with recent methodological papers advancing survival analysis techniques for complex data structures. Scientific Awards: No scientific awards were specified in the available institutional profile. Advising and Grants: The institutional profile does not provide details regarding graduate student supervision or specific research grant funding. Her collaborative publications suggest involvement in multi-investigator projects including the COCOMO HIV cohort study and pandemic-related research initiatives. Labs and Teams: Dr. Meddis is affiliated with the Section of Biostatistics within the Department of Public Health, though specific laboratory facilities or dedicated research teams are not described in the source material. Her extensive co-authorship patterns indicate active participation in multiple research consortia across medical specialties.
Natasha Carver is a Senior Lecturer at the School for Policy Studies, University of Bristol. Her work focuses on migration, gender, and colonial legacies, particularly in the context of FGM-safeguarding policies and their socio-political impacts. She holds an MSc and PhD, though specific disciplinary details are not provided. Her research critiques policy frameworks that marginalize migrant communities, especially those of Somali heritage in the UK. Her research interests include migratory legal frameworks, gendered and racialized power dynamics, and the intersection of colonial history with contemporary policy. She has conducted extensive studies on the over-surveillance of migrant-heritage families and the epistemological injustices embedded in FGM safeguarding procedures. Her publications highlight systemic issues in UK policies, advocating for evidence-based approaches over exaggerated risk narratives. She collaborates with interdisciplinary teams and engages with community perspectives to challenge hegemonic discourses in migration and gender studies. While no grants or lab affiliations are explicitly mentioned, her work frequently intersects with legal and healthcare systems.
Dr. Jennifer Dahne is a Professor of Psychiatry and Behavioral Sciences and the Melvyn Berlinsky Distinguished Endowed Chair in Cancer Research at the Medical University of South Carolina (MUSC). She holds leadership roles in MUSC’s Innovation Sciences Unit and the South Carolina Clinical & Translational Research Institute. Her research focuses on leveraging digital health technologies to address behavioral health disorders, particularly depression and substance use, with an emphasis on vulnerable populations. She also pioneers decentralized clinical trials and co-founded two digital health startups. Dr. Dahne’s work is supported by NIH grants (R01, R21, R41, R42, K23) and emphasizes translational research and commercialization of academic innovations. Education: Ph.D. in Clinical Psychology, University of Maryland, College Park (2016) Predoc Internship: MUSC/Ralph H. Johnson VA Medical Center Postdoc Fellowship: NIDA T32 Training Program (MUSC) Research Interests: Dr. Dahne’s work centers on digital health solutions to improve mental health care accessibility and efficacy. Key areas include: Decentralized clinical trials (remote/virtual trials) Telehealth and mobile health interventions for depression and substance use Health equity in digital health adoption Innovative clinical trial methodologies Awards & Leadership: Melvyn Berlinsky Distinguished Endowed Chair (2023) Inaugural Director, MUSC Innovation Sciences Unit (2022) Leadership roles in the SC Clinical & Translational Research Institute and Telehealth Center of Excellence Grants & Advising: Over 15 NIH grants awarded, including R01 and K-series. Her lab focuses on scalable interventions and has mentored students in digital health R&D. Collaborations span academia and industry through her startups and innovation initiatives. Labs & Teams: Research lab details available via MUSC’s Research Profile link. Active in cross-disciplinary teams advancing digital health and clinical trial innovation.
Mohammad Hamdaqa is an Associate Professor in the Department of Computer Engineering and Software Engineering at Polytechnique Montréal, where he leads the Laboratory of Software and Emerging Technologies. His academic journey includes a Ph.D. in Electrical and Computer Engineering from the University of Waterloo (2016), a Master's in Electrical and Computer Engineering from Concordia University, an MBA from the New York Institute of Technology, and a Bachelor's in Computer Engineering from Jordan University of Science and Technology. His research focuses on the intersection of software engineering and emerging technologies, particularly examining how software engineering approaches can be adapted for complex new platforms like cloud computing and blockchain. His work spans model-driven software engineering, cloud application architecture, smart contract development, and infrastructure as code. He investigates both how traditional software engineering practices can evolve to address the challenges of modern distributed systems and how emerging technologies can transform software development processes themselves. Analysis of his recent publications reveals a strong emphasis on blockchain technologies (particularly smart contracts), cloud-native applications, and the application of AI to software engineering tasks. His work shows a consistent thread of empirical research combined with practical tool development, with increasing focus on sustainability aspects of software systems in recent years. Much of his research bridges theoretical foundations with practical implementation concerns. Professor Hamdaqa serves as a thesis supervisor for multiple graduate students, with recent completed Master's theses focusing on smart contract auditing, prompt engineering for OCL generation, model-driven epidemiology, and security practices in infrastructure as code. He actively recruits students for research projects in his laboratory. He is a member of both the IEEE Computer Society and the Association for Computing Machinery (ACM), has served on program committees for major software engineering conferences, and is on the editorial board of Service Transaction on Internet of Thing. His laboratory, the Laboratory of Software and Emerging Technologies, serves as the hub for his research activities in blockchain, cloud computing, and model-driven engineering.
William O'Donohue, Ph.D., is a Professor in the Department of Psychology at the University of Nevada, Reno (UNR), within the College of Science. He holds advanced degrees in both clinical psychology (Ph.D., SUNY Stony Brook) and philosophy (M.A., Indiana University). His research focuses on forensic psychology, sexual assault, evidence-based practice, and the philosophy of psychology. He has directed a NIJ-funded clinic for 27 years, providing free services to victims of sexual abuse, and secured over $3 million in grants. He has authored 90 books and 300+ publications, serving on key committees like the APA's DSM revision panel. Education: Ph.D. in Psychology, SUNY Stony Brook (1986) M.S. in Psychology, SUNY Stony Brook (1982) B.S. in Psychology, University of Illinois (1979) M.A. in Philosophy, Indiana University (1988) Research Themes: His work critically examines forensic interviewing protocols, ideological bias in psychology, and the scientific validity of therapeutic practices. He advocates for procedural justice in psychological practice and challenges social justice movements' methodological rigor. Grants & Clinical Work: His clinic's NIJ grant supports free services for sexual abuse victims. He has consulted for the U.S. military and legal professionals on evidence-based practices. Labs/Teams: Operates a long-term clinical research program focused on forensic assessment and victim support through his UNR clinic infrastructure.
Danny Poo Chiang Choon is a tenured Associate Professor at the School of Computing (SOC), National University of Singapore (NUS). As Curriculum Chair of the Department of Information Systems and Analytics, he plays a key role in designing and implementing Information Systems and Computer Science curriculum at NUS. Dr. Poo earned his BSc (Honours), MSc and PhD in Computation from the University of Manchester Institute of Science and Technology (UMIST), United Kingdom. His academic journey has established him as a leader in health informatics and information systems at NUS. His research spans multiple domains with strong focus on Healthcare Informatics , where he investigates mobile health interventions, health analytics, and systems for improving patient care. His work in Data Science & Business Analytics explores knowledge management, information sharing, and effective search strategies. In Intelligent Systems , he examines software engineering approaches, object-oriented systems, and knowledge classification frameworks. His recent publications demonstrate a clear trajectory toward mobile health applications, particularly in coronary heart disease prevention and diabetes management. Dr. Poo's work consistently bridges technical computing with practical healthcare applications, focusing on user-centered design and evidence-based interventions. His research shows strong interdisciplinary integration between computer science, healthcare systems, and behavioral science, with emphasis on practical implementation in Singapore's healthcare context. Dr. Poo has served in numerous leadership roles including as the founding Director of the Centre for Health Informatics at NUS (2012-2015) and as a member of the Steering Committee of the Asia Pacific Software Engineering Conference (APSEC) since 1994, serving as Vice-Chairman from 2003-2005. He has been invited to speak at international forums including the Japanese Government's "USA, Kyushu and Asia International Exchange Project" and as a keynote speaker at the 2009 Arabic Scripts Second Symposium in Abu Dhabi. His expertise is recognized through invitations to speak on knowledge management topics at conferences in Singapore. Dr. Poo has authored five books in the Information Technology area: "Enterprise JavaBeans for Students" (2014), "Object-Oriented Programming and Java" (1998, 2007), "Learn to Program Enterprise JavaBeans 3.0" (2009), "Learn to Program Java" (2009), and "Learn to Program Java User Interface".
Mahsan Nourani is a Research Assistant Professor at Northeastern University, specializing in intersections of human-computer interaction, artificial intelligence, and healthcare informatics. Their research focuses on explainable AI systems, user behavior in AI partnerships, and design of interactive machine learning tools. Current work explores cognitive biases in human-AI collaboration, predictive analytics in healthcare, and activity recognition in videos. Key research areas include user profiling in AI applications, trust dynamics in intelligent systems, and visual debugging tools for machine learning models. Notable projects include the HEART initiative for real-time healthcare analytics and development of the DETOXER explanation framework for temporal classification systems. Recent publications investigate nudge techniques for behavioral change (Romadoro project), anchoring bias effects in AI system trust, and evaluation of view rotation techniques in virtual reality navigation. Their work consistently bridges technical AI advancements with human-centered design principles. No academic awards are listed in the provided materials. Current affiliations include Northeastern University's research groups in AI ethics, human-computer interaction, and healthcare technology innovation.
Eugene Feinberg is a Distinguished Professor in the Department of Applied Mathematics and Statistics at Stony Brook University's College of Engineering and Applied Sciences. He is renowned for his extensive contributions to Markov Decision Processes (MDPs), stochastic optimization, and inventory control. Research Interests: His work spans theoretical and applied aspects of Markov Decision Processes , stochastic optimization , inventory control , healthcare decision-making , and machine learning . He has particularly focused on solving complex decision-making problems under uncertainty, with applications ranging from operations research to medical decision-making. Scientific Awards: He has been honored with the title of Distinguished Professor , recognizing his outstanding contributions to his field. Advising and Grants: While specific details on students and grants are not provided, his prolific publication record and faculty status suggest active involvement in advising and securing research funding. Contact and Resources: His university webpage can be accessed at http://www.ams.sunysb.edu/~feinberg/ , and his Google Scholar profile is available at https://scholar.google.com/citations?user=LLt--pgAAAAJ&hl=en .
Qiaoning Carol Zhang serves as Assistant Professor of Human Systems Engineering within The Polytechnic School at Arizona State University's Ira A. Fulton Schools of Engineering. Her research investigates the critical intersection of human perception, social contexts, and emerging technologies including artificial intelligence, robotics, and automated vehicles, with emphasis on creating intuitive, user-friendly, and inclusive systems. Her academic foundation includes: Ph.D. in Information, University of Michigan (2023) M.S. in Industrial and Operations Engineering, University of Michigan (2018) B.S. in Industrial Engineering, Hunan University (2016) Dr. Zhang's research program centers on understanding how individual differences and social dynamics shape technology interactions. Key focus areas include Human-AI Collaboration , Human-Robot Interaction , Human Factors in Automated Vehicles , and User Experience Design . Her work employs interdisciplinary methodologies to ensure technology adapts to diverse user needs across complex socio-technical environments, particularly in transportation and healthcare robotics. Analysis of her 15 most recent publications (2021-2025) reveals dominant themes in trust dynamics within automated vehicles, with significant attention to explainable AI interfaces. Research consistently examines how voice characteristics (gender, similarity), explanation modalities, and individual differences (age, personality) impact cognitive and affective trust. Recent work extends to healthcare robotics for elderly populations using Kano model analysis to identify critical user requirements. No scientific awards are documented in the provided materials. Dr. Zhang actively recruits Ph.D. candidates and undergraduate/master's researchers with backgrounds in human-computer interaction, data science, and interdisciplinary fields (design, computer science, cognitive science). She emphasizes opportunities in transportation technology, healthcare robotics, AI, and UX research/design, requiring applicants to submit CVs, research statements, and representative work samples. While specific grants aren't detailed, her research scope indicates substantial funding in human factors and emerging technology domains. Her research team focuses on developing empathetic technology through projects examining trust calibration in automated vehicles and healthcare robot design for older adults. Current initiatives include voice interface optimization for diverse user groups and Kano model applications in home healthcare robotics, aiming to bridge technical capabilities with human-centered design principles.
Christopher John O'Donnell is a distinguished Professor at the School of Economics, University of Queensland, Australia, where he holds a dual affiliation (50% each) with both the main School of Economics and the Centre for Efficiency and Productivity Analysis (CEPA). His research primarily focuses on efficiency and productivity analysis across various sectors including agriculture, fisheries, public services, and healthcare. As a leading scholar in his field, he has published extensively in top-tier economics and operations research journals and is recognized as being among the top 5% of authors globally according to multiple citation metrics. O'Donnell's research interests span several interconnected domains: efficiency analysis, productivity measurement, agricultural economics, econometrics, state-contingent production frontiers, and metafrontier analysis. His work often bridges theoretical methodology with practical applications, particularly in estimating efficiency and productivity changes under various constraints and uncertainties. He has developed innovative approaches for measuring productivity in public service providers, agricultural sectors, and healthcare institutions, with particular attention to how weather, climate change, and demand uncertainty affect performance metrics. His research output demonstrates consistent productivity, with publications spanning from the 1990s to the present, including significant contributions in the last five years. O'Donnell frequently collaborates with researchers internationally, particularly with scholars from Australia, Europe, and Asia, reflecting the global relevance of his work. His publications appear in leading journals such as the American Journal of Agricultural Economics, Journal of Productivity Analysis, European Journal of Operational Research, and Agricultural and Applied Economics journals. Ranked among top 5% authors by citation metrics (Number of Citations) Ranked among top 5% authors by citation metrics (Number of Citations, Discounted by Citation Age) Ranked among top 5% authors by citation metrics (Number of Citations, Weighted by Number of Authors) Ranked among top 5% authors by citation metrics (Number of Citations, Weighted by Number of Authors, Discounted by Citation Age) Ranked among top 5% authors by citation metrics (Euclidian citation score) O'Donnell has supervised numerous graduate students, as evidenced by his 'Record of graduates' noted in his RePEc profile. His research has been supported by various institutions, particularly focusing on agricultural productivity, public sector efficiency, and resource economics. He has contributed significantly to methodological developments in productivity measurement, including nonparametric approaches and metafrontier frameworks that allow for cross-technology comparisons. As a core member of the Centre for Efficiency and Productivity Analysis (CEPA) at the University of Queensland, O'Donnell contributes to one of the world's leading research centers in efficiency and productivity analysis. His work has practical applications for policymakers in agriculture, fisheries management, healthcare, and public service delivery, helping organizations measure and improve their performance in increasingly complex economic environments.
Professor B M Azizur Rahman is a distinguished academic in the field of photonics at City University London, where he has served as Professor of Photonics in the Department of Electrical and Electronic Engineering since 2000. Previously, he was Reader in Photonics (1996-2000) and Lecturer (1988-1996) at the same institution. His academic journey began with a BEng (1971-1976) and MSc (1976-1979) from Bangladesh University of Engineering and Technology, followed by a PhD from University College London (1979-1982). His educational background laid the foundation for his extensive research career focusing on photonics, integrated waveguides, and optical sensors. Professor Rahman has made significant contributions to fields including plasmonic biosensors, fiber optic sensing technologies, supercontinuum generation, and metamaterial-based sensing systems. His research bridges theoretical modeling with practical applications in environmental monitoring, healthcare diagnostics, and engineering solutions. An analysis of his most recent publications (2022-2025) reveals a strong focus on advanced sensing technologies with applications across multiple domains. His work demonstrates expertise in combining photonics principles with nanotechnology, artificial intelligence, and novel materials to develop highly sensitive detection systems. Key research trends include the integration of deep learning with optical sensing, development of plasmonic-enhanced biosensors, and innovative waveguide designs for improved optical performance. Professor Rahman has maintained a highly productive research career with over 443 publications documented in his ORCID profile. His work shows extensive international collaboration with researchers from institutions in the UK, Bangladesh, Thailand, and other countries. While specific grant information is not provided in the available data, his sustained publication record across high-impact journals indicates successful research funding and supervision of numerous research projects over his career. His research group appears to focus on experimental photonics, computational modeling of optical systems, and development of novel sensing platforms.
Rico Self is an Assistant Professor in the Department of Communication at North Carolina State University. He also serves as contributing faculty in Feminist Studies and Race and Ethnicity Studies Programs (cross-institutional affiliations noted in academic profiles). His work focuses on rhetorical studies, Black cultural analysis, queer methodologies, and intersections of media, race, and gender. Education: Ph.D. in Communication Studies, Louisiana State University, 2020 M.A. in Philosophy, Louisiana State University, 2019 Research Interests : Rico’s scholarship engages Black queer feminist frameworks, critical media analysis, and performative resistance strategies. He examines topics like HBCU advocacy through sport rhetoric, anti-Black state violence, and institutional DEI dynamics. His work bridges theoretical rigor with community-oriented praxis. Recent Article Trends : Recent publications analyze prophetic rhetoric in HBCU leadership (2025), Black nihilism in academia (2024), queer autocritography as survival strategy (2024), and Black queer feminist performance (2023). These works collectively interrogate systems of oppression while proposing emancipatory frameworks. Recognition : Has received institutional, regional, and national awards for teaching, research, and advocacy (specific awards unspecified). Active in public speaking and consultancy roles addressing social justice issues. Grants & Teams : No specific grants or lab affiliations listed in provided texts. Advises graduate students in communication studies and interdisciplinary programs.
